flash-1-mini-20260602: initial bf16 release
Browse files- .gitattributes +6 -31
- LICENSE +202 -0
- NOTICE +37 -0
- README.md +163 -0
- chat_template.jinja +154 -0
- config.json +109 -0
- generation_config.json +6 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +731 -0
- preprocessor_config.json +21 -0
- processor_config.json +60 -0
- tokenizer.json +3 -0
- tokenizer_config.json +32 -0
- video_preprocessor_config.json +21 -0
- vocab.json +0 -0
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+
See the License for the specific language governing permissions and
|
| 202 |
+
limitations under the License.
|
NOTICE
ADDED
|
@@ -0,0 +1,37 @@
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|
| 1 |
+
flash-1-mini
|
| 2 |
+
Copyright 2026 SimpleDirect Inc.
|
| 3 |
+
|
| 4 |
+
This product includes software/model weights developed by SimpleDirect Inc.
|
| 5 |
+
|
| 6 |
+
------------------------------------------------------------------------
|
| 7 |
+
Attribution and modification notice (Apache License 2.0, Section 4)
|
| 8 |
+
------------------------------------------------------------------------
|
| 9 |
+
|
| 10 |
+
This model, "flash-1-mini" (version flash-1-mini-20260602), is a MODIFIED
|
| 11 |
+
DERIVATIVE WORK of:
|
| 12 |
+
|
| 13 |
+
Qwen3.5-4B
|
| 14 |
+
Copyright (c) Alibaba Cloud / Qwen Team
|
| 15 |
+
Licensed under the Apache License, Version 2.0
|
| 16 |
+
|
| 17 |
+
SimpleDirect Inc. has modified the original Qwen3.5-4B model through
|
| 18 |
+
supervised fine-tuning specialized for Canadian bilingual (English and
|
| 19 |
+
Canadian French) legal and regulatory tasks. Modifications include, but
|
| 20 |
+
are not limited to, adaptation of the language-model weights via
|
| 21 |
+
parameter-efficient fine-tuning and subsequent weight merging. The vision
|
| 22 |
+
components are inherited from the base model. The architecture is unchanged
|
| 23 |
+
from the base (Qwen3_5ForConditionalGeneration).
|
| 24 |
+
|
| 25 |
+
The original Apache License 2.0, under which the base model is distributed
|
| 26 |
+
and under which this derivative is also distributed, is included in the
|
| 27 |
+
LICENSE file accompanying this model.
|
| 28 |
+
|
| 29 |
+
You may obtain a copy of the License at:
|
| 30 |
+
|
| 31 |
+
http://www.apache.org/licenses/LICENSE-2.0
|
| 32 |
+
|
| 33 |
+
Unless required by applicable law or agreed to in writing, software
|
| 34 |
+
distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
|
| 35 |
+
WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
|
| 36 |
+
License for the specific language governing permissions and limitations
|
| 37 |
+
under the License.
|
README.md
ADDED
|
@@ -0,0 +1,163 @@
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|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
license_name: apache-2.0
|
| 4 |
+
language:
|
| 5 |
+
- en
|
| 6 |
+
- fr
|
| 7 |
+
base_model:
|
| 8 |
+
- Qwen/Qwen3.5-4B
|
| 9 |
+
pipeline_tag: image-text-to-text
|
| 10 |
+
library_name: transformers
|
| 11 |
+
tags:
|
| 12 |
+
- legal
|
| 13 |
+
- canadian-law
|
| 14 |
+
- bilingual
|
| 15 |
+
- french
|
| 16 |
+
- quebec-civil-law
|
| 17 |
+
- citation
|
| 18 |
+
- instruction-following
|
| 19 |
+
- vision-language
|
| 20 |
+
---
|
| 21 |
+
|
| 22 |
+
# flash-1-mini
|
| 23 |
+
|
| 24 |
+
**A compact, bilingual, vision-capable model specialized for Canadian legal and regulatory work — in English and Canadian French.**
|
| 25 |
+
|
| 26 |
+
flash-1-mini is a 4-billion-parameter model fine-tuned from Qwen3.5-4B for Canadian legal tasks. It is built for the parts of legal work that have to be right: producing correctly-formatted legal citations and following detailed instructions, across both of Canada's official languages and both of its legal traditions (common law and Quebec civil law). It retains the full general-reasoning and vision capability of its base model.
|
| 27 |
+
|
| 28 |
+
- **Version:** `flash-1-mini-20260602`
|
| 29 |
+
- **Developed by:** SimpleDirect Inc.
|
| 30 |
+
- **Base model:** Qwen3.5-4B (Apache-2.0)
|
| 31 |
+
- **License:** Apache-2.0
|
| 32 |
+
- **Languages:** English, Canadian French
|
| 33 |
+
- **Modalities:** Text + image input → text output
|
| 34 |
+
|
| 35 |
+
| Spec | Value |
|
| 36 |
+
|---|---|
|
| 37 |
+
| Parameters | 4.54B |
|
| 38 |
+
| Architecture | Qwen3_5ForConditionalGeneration (hybrid linear-attention + full-attention) |
|
| 39 |
+
| Hidden size / layers / heads | 2560 / 32 / 16 |
|
| 40 |
+
| Vocab | 248,320 |
|
| 41 |
+
| Context length | 262,144 |
|
| 42 |
+
| Precision | bfloat16 |
|
| 43 |
+
| Tied embeddings | Yes |
|
| 44 |
+
|
| 45 |
+
## Highlights
|
| 46 |
+
|
| 47 |
+
Measured against its base model under identical conditions (same prompts, same scoring):
|
| 48 |
+
|
| 49 |
+
- **2.7× more reliable legal citations** — citation-integrity accuracy 42.1% vs 15.8% on the CBLRE benchmark.
|
| 50 |
+
- **+23 points on instruction-following** — IFEval prompt-strict 53.2% vs 30.3%.
|
| 51 |
+
- **Balanced bilingual competence** — privacy-compliance parity ratio of 1.00 (English 90.9% / French 90.9%).
|
| 52 |
+
- **Stronger English legal reasoning** — MMLU international law 76.0% vs 70.3%.
|
| 53 |
+
- **No loss of general capability** — MMLU unchanged (~69.8%); complex multi-step reasoning improves (BBH 79.0% vs 68.6%).
|
| 54 |
+
- **Vision-capable** — reads and reasons over images and documents, inherited from the base.
|
| 55 |
+
|
| 56 |
+
## Intended use
|
| 57 |
+
|
| 58 |
+
flash-1-mini is intended as a drafting and research assistant for Canadian legal and regulatory workflows, in English and French, where citation correctness and faithful instruction-following matter. It is suitable for legal-tech builders, compliance teams, and Canadian regulated-industry operators.
|
| 59 |
+
|
| 60 |
+
It is designed to **assist** legal professionals, not to replace their judgment. Outputs — especially citations — should be verified against primary sources before reliance.
|
| 61 |
+
|
| 62 |
+
## How to use
|
| 63 |
+
|
| 64 |
+
flash-1-mini uses the `Qwen3_5ForConditionalGeneration` architecture, which is **native to Transformers ≥ 5.5** — no `trust_remote_code` is required. Install a recent Transformers:
|
| 65 |
+
|
| 66 |
+
```bash
|
| 67 |
+
pip install "transformers>=5.5"
|
| 68 |
+
```
|
| 69 |
+
|
| 70 |
+
```python
|
| 71 |
+
import torch
|
| 72 |
+
from transformers import AutoModelForImageTextToText, AutoProcessor
|
| 73 |
+
|
| 74 |
+
model_id = "simpledirect/flash-1-mini"
|
| 75 |
+
processor = AutoProcessor.from_pretrained(model_id)
|
| 76 |
+
model = AutoModelForImageTextToText.from_pretrained(
|
| 77 |
+
model_id, dtype=torch.bfloat16, device_map="auto"
|
| 78 |
+
)
|
| 79 |
+
|
| 80 |
+
# Text
|
| 81 |
+
messages = [{"role": "user", "content": [
|
| 82 |
+
{"type": "text", "text": "What does section 1 of the Canadian Charter of Rights and Freedoms do?"}
|
| 83 |
+
]}]
|
| 84 |
+
prompt = processor.apply_chat_template(messages, add_generation_prompt=True, tokenize=False)
|
| 85 |
+
inputs = processor(text=[prompt], return_tensors="pt").to(model.device)
|
| 86 |
+
out = model.generate(**inputs, max_new_tokens=256, do_sample=False)
|
| 87 |
+
print(processor.decode(out[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))
|
| 88 |
+
```
|
| 89 |
+
|
| 90 |
+
For image input, include `{"type": "image"}` in the message content and pass `images=[img]` to the processor.
|
| 91 |
+
|
| 92 |
+
#### Thinking mode
|
| 93 |
+
|
| 94 |
+
Like its base model, flash-1-mini **thinks by default** — it emits a `<think>...</think>` reasoning block before the final answer. For many legal drafting tasks you will want the direct answer only. Disable thinking by passing `enable_thinking=False` through the chat template:
|
| 95 |
+
|
| 96 |
+
```python
|
| 97 |
+
prompt = processor.apply_chat_template(
|
| 98 |
+
messages, add_generation_prompt=True, tokenize=False,
|
| 99 |
+
enable_thinking=False, # direct kwarg; emits an empty <think></think> block so the model answers directly
|
| 100 |
+
)
|
| 101 |
+
```
|
| 102 |
+
|
| 103 |
+
When serving via vLLM, pass `--reasoning-parser qwen3`; to disable thinking per request, set `chat_template_kwargs={"enable_thinking": False}` in the request body (or keep thinking on for complex reasoning where it helps).
|
| 104 |
+
|
| 105 |
+
### Serving
|
| 106 |
+
|
| 107 |
+
The model serves with **vLLM** for production text and multimodal inference (Transformers ≥ 5.5). Greedy decoding (temperature 0) is recommended for legal tasks where determinism matters. For text-only workloads, vLLM's `--language-model-only` flag skips the vision encoder to free memory for additional KV cache.
|
| 108 |
+
|
| 109 |
+
### Quantized / GGUF / Ollama
|
| 110 |
+
|
| 111 |
+
Quantized GGUF variants (and therefore Ollama hosting) are **planned but not yet released**. flash-1-mini uses Qwen3.5's hybrid linear-attention (Gated DeltaNet / SSM) architecture; GGUF conversion of this architecture succeeds, but verified GGUF *inference* depends on `llama.cpp` runtime support for these layers, which is still maturing. When verified, GGUF variants will be published as **text-only** (the vision tower is not carried in GGUF). Until then, use the bf16 weights above for both text and multimodal inference. To run in lower precision today, load the bf16 weights with `bitsandbytes` 4-bit/8-bit via `BitsAndBytesConfig`.
|
| 112 |
+
|
| 113 |
+
## Benchmarks
|
| 114 |
+
|
| 115 |
+
All figures are flash-1-mini vs the Qwen3.5-4B base under identical conditions (same prompts, few-shot counts, scoring, greedy decoding). See the SimpleDirect benchmarking methodology and CBLRE eval-set documentation for full protocol.
|
| 116 |
+
|
| 117 |
+
| Capability | Base | flash-1-mini |
|
| 118 |
+
|---|---|---|
|
| 119 |
+
| Legal citation integrity (CBLRE) | 15.8% | **42.1%** |
|
| 120 |
+
| Instruction-following (IFEval, prompt-strict) | 30.3% | **53.2%** |
|
| 121 |
+
| English legal — international law (MMLU) | 70.3% | **76.0%** |
|
| 122 |
+
| English legal — jurisprudence (MMLU) | 79.6% | **81.5%** |
|
| 123 |
+
| Complex reasoning (BBH) | 68.6% | **79.0%** |
|
| 124 |
+
| General knowledge (MMLU) | 69.8% | 69.8% |
|
| 125 |
+
| Privacy-compliance bilingual parity (FR/EN) | — | **1.00** |
|
| 126 |
+
|
| 127 |
+
### Where it is weaker
|
| 128 |
+
|
| 129 |
+
Specialization carried measurable costs, reported here in full:
|
| 130 |
+
|
| 131 |
+
- **Retrieval (RAG):** source-attribution accuracy regressed (0.81 → 0.76 on a leak-proof held-out set). flash-1-mini is not a retrieval/RAG leader.
|
| 132 |
+
- **Function-calling (BFCL v4):** overall regressed (37.7% → 28.6%), with multi-turn the weakest sub-category.
|
| 133 |
+
- **French professional-law MCQ** and a few French-general tasks regressed modestly.
|
| 134 |
+
|
| 135 |
+
If your workload is primarily retrieval-grounded QA or tool/function-calling orchestration, evaluate carefully against these numbers.
|
| 136 |
+
|
| 137 |
+
## Training
|
| 138 |
+
|
| 139 |
+
flash-1-mini is a supervised fine-tune of Qwen3.5-4B using parameter-efficient adapters (LoRA with DoRA, rank 32 / alpha 64, RS-LoRA), with the vision tower frozen, on a bilingual Canadian legal corpus weighted toward citation production and Quebec civil-law content. The trained adapter was merged into the base weights and the checkpoint canonicalized for serving. The architecture is unchanged from the base.
|
| 140 |
+
|
| 141 |
+
## Limitations and responsible use
|
| 142 |
+
|
| 143 |
+
- **Not legal advice.** flash-1-mini produces information to assist qualified professionals; it does not practice law and its outputs are not a substitute for a lawyer.
|
| 144 |
+
- **Verify citations.** Citation accuracy is materially improved over the base but is not perfect; verify against primary sources.
|
| 145 |
+
- **Bilingual, not omniscient in French.** Parity is strong on tested tracks but French professional-law MCQ regressed; do not assume uniform French superiority.
|
| 146 |
+
- **Hallucination.** Like all LLMs, it can produce confident, incorrect output.
|
| 147 |
+
- **Quebec register.** The model is evaluated for legal correctness, not certified for Quebec-French dialectal register.
|
| 148 |
+
|
| 149 |
+
## License and attribution
|
| 150 |
+
|
| 151 |
+
flash-1-mini is released under the **Apache License 2.0**. It is a modified derivative work of **Qwen3.5-4B** (© Alibaba Cloud / Qwen Team, Apache-2.0). See the `LICENSE` and `NOTICE` files in this repository for the full license text and the required attribution and modification statement.
|
| 152 |
+
|
| 153 |
+
## Citation
|
| 154 |
+
|
| 155 |
+
```bibtex
|
| 156 |
+
@misc{simpledirect2026flash1mini,
|
| 157 |
+
title = {flash-1-mini: A Bilingual Canadian Legal Language Model},
|
| 158 |
+
author = {SimpleDirect Inc.},
|
| 159 |
+
year = {2026},
|
| 160 |
+
note = {Version flash-1-mini-20260602. Derivative of Qwen3.5-4B (Apache-2.0).},
|
| 161 |
+
howpublished = {\url{https://huggingface.co/simpledirect/flash-1-mini}}
|
| 162 |
+
}
|
| 163 |
+
```
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,154 @@
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- set image_count = namespace(value=0) %}
|
| 2 |
+
{%- set video_count = namespace(value=0) %}
|
| 3 |
+
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 4 |
+
{%- if content is string %}
|
| 5 |
+
{{- content }}
|
| 6 |
+
{%- elif content is iterable and content is not mapping %}
|
| 7 |
+
{%- for item in content %}
|
| 8 |
+
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 9 |
+
{%- if is_system_content %}
|
| 10 |
+
{{- raise_exception('System message cannot contain images.') }}
|
| 11 |
+
{%- endif %}
|
| 12 |
+
{%- if do_vision_count %}
|
| 13 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{%- if add_vision_id %}
|
| 16 |
+
{{- 'Picture ' ~ image_count.value ~ ': ' }}
|
| 17 |
+
{%- endif %}
|
| 18 |
+
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 19 |
+
{%- elif 'video' in item or item.type == 'video' %}
|
| 20 |
+
{%- if is_system_content %}
|
| 21 |
+
{{- raise_exception('System message cannot contain videos.') }}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- if do_vision_count %}
|
| 24 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 25 |
+
{%- endif %}
|
| 26 |
+
{%- if add_vision_id %}
|
| 27 |
+
{{- 'Video ' ~ video_count.value ~ ': ' }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 30 |
+
{%- elif 'text' in item %}
|
| 31 |
+
{{- item.text }}
|
| 32 |
+
{%- else %}
|
| 33 |
+
{{- raise_exception('Unexpected item type in content.') }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endfor %}
|
| 36 |
+
{%- elif content is none or content is undefined %}
|
| 37 |
+
{{- '' }}
|
| 38 |
+
{%- else %}
|
| 39 |
+
{{- raise_exception('Unexpected content type.') }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endmacro %}
|
| 42 |
+
{%- if not messages %}
|
| 43 |
+
{{- raise_exception('No messages provided.') }}
|
| 44 |
+
{%- endif %}
|
| 45 |
+
{%- if tools and tools is iterable and tools is not mapping %}
|
| 46 |
+
{{- '<|im_start|>system\n' }}
|
| 47 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 48 |
+
{%- for tool in tools %}
|
| 49 |
+
{{- "\n" }}
|
| 50 |
+
{{- tool | tojson }}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{{- "\n</tools>" }}
|
| 53 |
+
{{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
|
| 54 |
+
{%- if messages[0].role == 'system' %}
|
| 55 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 56 |
+
{%- if content %}
|
| 57 |
+
{{- '\n\n' + content }}
|
| 58 |
+
{%- endif %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<|im_end|>\n' }}
|
| 61 |
+
{%- else %}
|
| 62 |
+
{%- if messages[0].role == 'system' %}
|
| 63 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 64 |
+
{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
|
| 65 |
+
{%- endif %}
|
| 66 |
+
{%- endif %}
|
| 67 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 68 |
+
{%- for message in messages[::-1] %}
|
| 69 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 70 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 71 |
+
{%- set content = render_content(message.content, false)|trim %}
|
| 72 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 73 |
+
{%- set ns.multi_step_tool = false %}
|
| 74 |
+
{%- set ns.last_query_index = index %}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{%- endif %}
|
| 77 |
+
{%- endfor %}
|
| 78 |
+
{%- if ns.multi_step_tool %}
|
| 79 |
+
{{- raise_exception('No user query found in messages.') }}
|
| 80 |
+
{%- endif %}
|
| 81 |
+
{%- for message in messages %}
|
| 82 |
+
{%- set content = render_content(message.content, true)|trim %}
|
| 83 |
+
{%- if message.role == "system" %}
|
| 84 |
+
{%- if not loop.first %}
|
| 85 |
+
{{- raise_exception('System message must be at the beginning.') }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- elif message.role == "user" %}
|
| 88 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 89 |
+
{%- elif message.role == "assistant" %}
|
| 90 |
+
{%- set reasoning_content = '' %}
|
| 91 |
+
{%- if message.reasoning_content is string %}
|
| 92 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 93 |
+
{%- else %}
|
| 94 |
+
{%- if '</think>' in content %}
|
| 95 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 96 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 97 |
+
{%- endif %}
|
| 98 |
+
{%- endif %}
|
| 99 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 100 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 101 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 102 |
+
{%- else %}
|
| 103 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 104 |
+
{%- endif %}
|
| 105 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 106 |
+
{%- for tool_call in message.tool_calls %}
|
| 107 |
+
{%- if tool_call.function is defined %}
|
| 108 |
+
{%- set tool_call = tool_call.function %}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- if loop.first %}
|
| 111 |
+
{%- if content|trim %}
|
| 112 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 113 |
+
{%- else %}
|
| 114 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- else %}
|
| 117 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 118 |
+
{%- endif %}
|
| 119 |
+
{%- if tool_call.arguments is defined %}
|
| 120 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 121 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 122 |
+
{%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
|
| 123 |
+
{{- args_value }}
|
| 124 |
+
{{- '\n</parameter>\n' }}
|
| 125 |
+
{%- endfor %}
|
| 126 |
+
{%- endif %}
|
| 127 |
+
{{- '</function>\n</tool_call>' }}
|
| 128 |
+
{%- endfor %}
|
| 129 |
+
{%- endif %}
|
| 130 |
+
{{- '<|im_end|>\n' }}
|
| 131 |
+
{%- elif message.role == "tool" %}
|
| 132 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 133 |
+
{{- '<|im_start|>user' }}
|
| 134 |
+
{%- endif %}
|
| 135 |
+
{{- '\n<tool_response>\n' }}
|
| 136 |
+
{{- content }}
|
| 137 |
+
{{- '\n</tool_response>' }}
|
| 138 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 139 |
+
{{- '<|im_end|>\n' }}
|
| 140 |
+
{%- elif loop.last %}
|
| 141 |
+
{{- '<|im_end|>\n' }}
|
| 142 |
+
{%- endif %}
|
| 143 |
+
{%- else %}
|
| 144 |
+
{{- raise_exception('Unexpected message role.') }}
|
| 145 |
+
{%- endif %}
|
| 146 |
+
{%- endfor %}
|
| 147 |
+
{%- if add_generation_prompt %}
|
| 148 |
+
{{- '<|im_start|>assistant\n' }}
|
| 149 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 150 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 151 |
+
{%- else %}
|
| 152 |
+
{{- '<think>\n' }}
|
| 153 |
+
{%- endif %}
|
| 154 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,109 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"dtype": "bfloat16",
|
| 6 |
+
"image_token_id": 248056,
|
| 7 |
+
"model_type": "qwen3_5",
|
| 8 |
+
"text_config": {
|
| 9 |
+
"attention_bias": false,
|
| 10 |
+
"attention_dropout": 0.0,
|
| 11 |
+
"attn_output_gate": true,
|
| 12 |
+
"bos_token_id": null,
|
| 13 |
+
"dtype": "bfloat16",
|
| 14 |
+
"eos_token_id": 248044,
|
| 15 |
+
"full_attention_interval": 4,
|
| 16 |
+
"head_dim": 256,
|
| 17 |
+
"hidden_act": "silu",
|
| 18 |
+
"hidden_size": 2560,
|
| 19 |
+
"initializer_range": 0.02,
|
| 20 |
+
"intermediate_size": 9216,
|
| 21 |
+
"layer_types": [
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"linear_attention",
|
| 51 |
+
"linear_attention",
|
| 52 |
+
"linear_attention",
|
| 53 |
+
"full_attention"
|
| 54 |
+
],
|
| 55 |
+
"linear_conv_kernel_dim": 4,
|
| 56 |
+
"linear_key_head_dim": 128,
|
| 57 |
+
"linear_num_key_heads": 16,
|
| 58 |
+
"linear_num_value_heads": 32,
|
| 59 |
+
"linear_value_head_dim": 128,
|
| 60 |
+
"mamba_ssm_dtype": "float32",
|
| 61 |
+
"max_position_embeddings": 262144,
|
| 62 |
+
"mlp_only_layers": [],
|
| 63 |
+
"model_type": "qwen3_5_text",
|
| 64 |
+
"mtp_num_hidden_layers": 1,
|
| 65 |
+
"mtp_use_dedicated_embeddings": false,
|
| 66 |
+
"num_attention_heads": 16,
|
| 67 |
+
"num_hidden_layers": 32,
|
| 68 |
+
"num_key_value_heads": 4,
|
| 69 |
+
"pad_token_id": null,
|
| 70 |
+
"partial_rotary_factor": 0.25,
|
| 71 |
+
"rms_norm_eps": 1e-06,
|
| 72 |
+
"rope_parameters": {
|
| 73 |
+
"mrope_interleaved": true,
|
| 74 |
+
"mrope_section": [
|
| 75 |
+
11,
|
| 76 |
+
11,
|
| 77 |
+
10
|
| 78 |
+
],
|
| 79 |
+
"partial_rotary_factor": 0.25,
|
| 80 |
+
"rope_theta": 10000000,
|
| 81 |
+
"rope_type": "default"
|
| 82 |
+
},
|
| 83 |
+
"tie_word_embeddings": true,
|
| 84 |
+
"use_cache": true,
|
| 85 |
+
"vocab_size": 248320
|
| 86 |
+
},
|
| 87 |
+
"tie_word_embeddings": true,
|
| 88 |
+
"transformers_version": "5.5.0",
|
| 89 |
+
"video_token_id": 248057,
|
| 90 |
+
"vision_config": {
|
| 91 |
+
"deepstack_visual_indexes": [],
|
| 92 |
+
"depth": 24,
|
| 93 |
+
"dtype": "bfloat16",
|
| 94 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 95 |
+
"hidden_size": 1024,
|
| 96 |
+
"in_channels": 3,
|
| 97 |
+
"initializer_range": 0.02,
|
| 98 |
+
"intermediate_size": 4096,
|
| 99 |
+
"model_type": "qwen3_5",
|
| 100 |
+
"num_heads": 16,
|
| 101 |
+
"num_position_embeddings": 2304,
|
| 102 |
+
"out_hidden_size": 2560,
|
| 103 |
+
"patch_size": 16,
|
| 104 |
+
"spatial_merge_size": 2,
|
| 105 |
+
"temporal_patch_size": 2
|
| 106 |
+
},
|
| 107 |
+
"vision_end_token_id": 248054,
|
| 108 |
+
"vision_start_token_id": 248053
|
| 109 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"eos_token_id": 248044,
|
| 4 |
+
"transformers_version": "5.5.0",
|
| 5 |
+
"use_cache": true
|
| 6 |
+
}
|
model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:265da9311666d2ed055c1020ee0c7352ffb2c51707cdf64ff952cbbad743e6d2
|
| 3 |
+
size 4972947968
|
model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:21f5097537648d49ec167cea4895511c8245aa34bff914bd98dce563424ba72f
|
| 3 |
+
size 4105670680
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,731 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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| 1 |
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{
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| 2 |
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preprocessor_config.json
ADDED
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 16777216,
|
| 4 |
+
"shortest_edge": 65536
|
| 5 |
+
},
|
| 6 |
+
"patch_size": 16,
|
| 7 |
+
"temporal_patch_size": 2,
|
| 8 |
+
"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"image_processor_type": "Qwen2VLImageProcessorFast"
|
| 21 |
+
}
|
processor_config.json
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"do_convert_rgb": true,
|
| 4 |
+
"do_normalize": true,
|
| 5 |
+
"do_rescale": true,
|
| 6 |
+
"do_resize": true,
|
| 7 |
+
"image_mean": [
|
| 8 |
+
0.5,
|
| 9 |
+
0.5,
|
| 10 |
+
0.5
|
| 11 |
+
],
|
| 12 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 13 |
+
"image_std": [
|
| 14 |
+
0.5,
|
| 15 |
+
0.5,
|
| 16 |
+
0.5
|
| 17 |
+
],
|
| 18 |
+
"merge_size": 2,
|
| 19 |
+
"patch_size": 16,
|
| 20 |
+
"resample": 3,
|
| 21 |
+
"rescale_factor": 0.00392156862745098,
|
| 22 |
+
"size": {
|
| 23 |
+
"longest_edge": 16777216,
|
| 24 |
+
"shortest_edge": 65536
|
| 25 |
+
},
|
| 26 |
+
"temporal_patch_size": 2
|
| 27 |
+
},
|
| 28 |
+
"processor_class": "Qwen3VLProcessor",
|
| 29 |
+
"video_processor": {
|
| 30 |
+
"do_convert_rgb": true,
|
| 31 |
+
"do_normalize": true,
|
| 32 |
+
"do_rescale": true,
|
| 33 |
+
"do_resize": true,
|
| 34 |
+
"do_sample_frames": true,
|
| 35 |
+
"fps": 2,
|
| 36 |
+
"image_mean": [
|
| 37 |
+
0.5,
|
| 38 |
+
0.5,
|
| 39 |
+
0.5
|
| 40 |
+
],
|
| 41 |
+
"image_std": [
|
| 42 |
+
0.5,
|
| 43 |
+
0.5,
|
| 44 |
+
0.5
|
| 45 |
+
],
|
| 46 |
+
"max_frames": 768,
|
| 47 |
+
"merge_size": 2,
|
| 48 |
+
"min_frames": 4,
|
| 49 |
+
"patch_size": 16,
|
| 50 |
+
"resample": 3,
|
| 51 |
+
"rescale_factor": 0.00392156862745098,
|
| 52 |
+
"return_metadata": false,
|
| 53 |
+
"size": {
|
| 54 |
+
"longest_edge": 25165824,
|
| 55 |
+
"shortest_edge": 4096
|
| 56 |
+
},
|
| 57 |
+
"temporal_patch_size": 2,
|
| 58 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 59 |
+
}
|
| 60 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
|
| 3 |
+
size 19989343
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"audio_bos_token": "<|audio_start|>",
|
| 4 |
+
"audio_eos_token": "<|audio_end|>",
|
| 5 |
+
"audio_token": "<|audio_pad|>",
|
| 6 |
+
"backend": "tokenizers",
|
| 7 |
+
"bos_token": null,
|
| 8 |
+
"clean_up_tokenization_spaces": false,
|
| 9 |
+
"eos_token": "<|im_end|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"image_token": "<|image_pad|>",
|
| 12 |
+
"is_local": true,
|
| 13 |
+
"model_max_length": 32768,
|
| 14 |
+
"model_specific_special_tokens": {
|
| 15 |
+
"audio_bos_token": "<|audio_start|>",
|
| 16 |
+
"audio_eos_token": "<|audio_end|>",
|
| 17 |
+
"audio_token": "<|audio_pad|>",
|
| 18 |
+
"image_token": "<|image_pad|>",
|
| 19 |
+
"video_token": "<|video_pad|>",
|
| 20 |
+
"vision_bos_token": "<|vision_start|>",
|
| 21 |
+
"vision_eos_token": "<|vision_end|>"
|
| 22 |
+
},
|
| 23 |
+
"pad_token": "<|endoftext|>",
|
| 24 |
+
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 25 |
+
"processor_class": "Qwen3VLProcessor",
|
| 26 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "TokenizersBackend",
|
| 28 |
+
"unk_token": null,
|
| 29 |
+
"video_token": "<|video_pad|>",
|
| 30 |
+
"vision_bos_token": "<|vision_start|>",
|
| 31 |
+
"vision_eos_token": "<|vision_end|>"
|
| 32 |
+
}
|
video_preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 25165824,
|
| 4 |
+
"shortest_edge": 4096
|
| 5 |
+
},
|
| 6 |
+
"patch_size": 16,
|
| 7 |
+
"temporal_patch_size": 2,
|
| 8 |
+
"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 21 |
+
}
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|